RII Track-4: Diffuse Optical Imaging for Early Detection of Diabetic Polyneuropathy

RII Track-4：用于早期检测糖尿病多发性神经病的漫射光学成像

基本信息

批准号：
1832886
负责人：
Karissa Tilbury
金额：
$ 16.25万
依托单位：
University of Maine
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-10-01 至 2022-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832886&HistoricalAwards=false
关键词：
RII Track Diffuse Optical Imaging

项目摘要

Non-Technical DescriptionDiabetic polyneuropathy (DPN) is a common diabetic condition that results in the loss of sensation in the lower limbs. If left unchecked, this condition can lead to tissue trauma, ulcerations, infections and ultimately amputation. Since small nerve fibers innervate small blood vessels, early detection is possible by monitoring changes in tissue perfusion and blood flow. In this project, the PI will combine diffuse optics with laser-based imaging techniques to generate person-specific heat maps capable of highlighting DPN markers that include tissue perfusion and blood flow rates in feet. A model incorporating skin tones and disorders will inform the imaging data to ensure the spatial heat maps are accurate and reliable for DPN detection. This low-cost, non-invasive approach will provide opportunities for routine monitoring, providing earlier detection of small nerve fiber damage and reducing the risk of further complications. Additionally, this project establishes collaborations between the Tilbury Biophotonics group at the University of Maine with the BOTLab at Boston University which will result in several studies. Technical DescriptionDiabetic polyneuropathy (DPN), a common diabetic complication, is the loss of sensation particularly in the lower limbs and increases the risk of tissue trauma, resulting in ulcerations, infections and increased risk of amputation. Current screening approaches are unable to quantify early nerve damage despite the onset of several early symptoms including: burning, itching, restlessness, and poor thermal sensation. Current gold standard assays are due to cost and or degree of invasiveness suggesting that a new approach is needed. Small nerve fibers innervate both sweat glands and small arterioles and when damaged, both perspiration and blood flow characteristics are altered. Several functional small nerve fiber tests are based on the loss of perspiration and alterations of the rhythmic blood flow characteristics; yet excitement of each approach is dampened by low specificity or complications of skin tones and disorders. In this proposal we will build a three-wavelength Time Modulated Spatial Frequency Domain Imaging (TM-SFDI) and Laser Speckle Contrast Imaging (LSCI) system for wide-field imaging of both blood flow rates and concentrations of oxy- and deoxygenated hemoglobin. A 2-layer Monte Carlo method will minimize error due to skin tones and disorders and will also inform the selection of optimal spatial frequencies projected onto the tissue to maximize sensitivity of oxy- and deoxygenated hemoglobin. Collectively, the TM-SFDI/LSCI system is a low-cost, non-invasive approach for longitudinally monitoring diabetics.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

非技术描述糖尿病性多神经病（DPN）是一种常见的糖尿病疾病，导致下肢失去感觉。如果没有选中，这种情况可能会导致组织创伤，溃疡，感染和最终截肢。由于小神经纤维支配了小血管，因此可以通过监测组织灌注和血液的变化来早期检测。在该项目中，PI将结合弥散光学器件与基于激光的成像技术，以生成特定于人的热图，能够突出显示包括组织灌注和血液流速在内的DPN标记。结合肤色和疾病的模型将告知成像数据，以确保空间热图准确且可靠地检测DPN。这种低成本的非侵入性方法将为常规监测提供机会，提供早期发现小神经纤维损害并降低进一步并发症的风险。此外，该项目还建立了缅因州大学蒂尔伯里生物素养小组与波士顿大学的botlab之间的合作，这将导致几项研究。一种常见的糖尿病并发症的技术描述糖尿病多神经病（DPN）是感官的丧失，尤其是在下肢中，增加了组织创伤的风险，导致溃疡，感染和截肢风险增加。尽管有几种早期症状，包括：燃烧，瘙痒，躁动不安和热感觉较差，目前的筛查方法仍无法量化早期神经损伤。当前的黄金标准测定是由于成本和 /或侵入性程度所致，这表明需要采用新方法。小神经纤维支配了汗腺和小动脉，并且在受损时，出汗和血流特征都会改变。几种功能性的小神经纤维测试是基于节奏流动特征的汗水丧失和改变的。然而，每种方法的兴奋都会因肤色和疾病的低特异性或并发症而抑制。在此提案中，我们将构建一个三波长度调制的空间频域成像（TM-SFDI）和激光斑点对比度成像（LSCI）系统，以对血流量以及氧和脱氧的血红蛋白的浓度进行广场成像。两层蒙特卡洛方法将由于肤色和疾病而导致的误差最小化，还将为投射到组织上的最佳空间频率的选择提供信息，以最大程度地提高氧气和脱氧血红蛋白的敏感性。总体而言，TM-SFDI/LSCI系统是一种低成本的，无创的方法，用于纵向监测糖尿病患者。该奖项反映了NSF的法定任务，并认为通过基金会的知识分子优点和更广泛的影响标准，认为值得通过评估的支持。